Triple
T27343290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Lightweight Tank |
E684166
|
entity |
| Predicate | tankType |
P57541
|
FINISHED |
| Object | external fuel tank |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: external fuel tank | Statement: [Super Lightweight Tank, tankType, external fuel tank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tankType Context triple: [Super Lightweight Tank, tankType, external fuel tank]
-
A.
hasTankType
chosen
Indicates that an entity is associated with, or classified by, a specific type or category of tank.
-
B.
hasTank
Indicates that an entity possesses, is equipped with, or contains a tank (such as a storage tank, fuel tank, or similar vessel).
-
C.
hasCentralTank
Indicates that an entity possesses or is equipped with a primary central tank as a key component or feature.
-
D.
mainTankCapacity
Indicates the maximum volume of fuel or liquid that the primary tank is designed to hold.
-
E.
fuelTankConfiguration
Indicates how a system’s fuel tanks are arranged, connected, or structured relative to one another.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62b9f5514819088c3a1e11c65a9af |
completed | May 2, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69f620e4b1c88190a17940251abc68fd |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 11:44 a.m.